Examine the association between key determinants identified by the chronic disease indicator framework and multimorbidity by rural and urban settings

Background: Multimorbidity, often defined as having two or more chronic conditions is a global phenomenon. This study examined the association between key determinants identified by the chronic disease indicator framework and multimorbidity by rural and urban settings. The prevalence of individual diseases was also investigated by age and sex. Methods: The Canada Community Health Survey and linked health administrative databases were used to examine the association between multimorbidity, sociodemographic, behavioral, and other risk factors in the province of Ontario. A multivariable logistic regression model was used to conduct the main analysis. Results: Analyses were stratified by age (20–64 and 65–95) and area of residence (rural and urban). A total sample of n = 174,938 residents between the ages of 20–95 were examined in the Ontario province, of which 18.2% (n = 31,896) were multimorbid with 2 chronic conditions, and 23.4% (n = 40,883) with 3+ chronic conditions. Females had a higher prevalence of 2 conditions (17.9% versus 14.6%) and 3+ conditions (19.7% vs. 15.6%) relative to males. Out of all examined variables, poor self-perception of health, age, Body Mass Index, and income were most significantly associated with multimorbidity. Smoking was a significant risk factor in urban settings but not rural, while drinking was significant in rural and not urban settings. Income inequality was associated with multimorbidity with greater magnitude in rural areas. Prevalence of multimorbidity and having three or more chronic conditions were highest among low-income populations. Conclusion: Interventions targeting population weight, age/sex specific disease burdens, and additional focus on stable income are encouraged.

One year follow-up and exploratory analysis of a patient-centered interdisciplinary care intervention for multimorbidity

Context Interventions for people with multimorbidity have obtained mixed results. We aimed to document the long-term effect of an intervention for people with multimorbidity. Methods 284 patients (18–80 years) presenting three or more chronic conditions were recruited from seven family medicine groups in the Saguenay-Lac St-Jean region, Quebec, Canada. The patient-centered intervention was based on motivational approach and self-management support. Outcomes were evaluated in a one-year pre-post study design with questionnaires that included the Health Education Questionnaire (heiQ), the Self-Efficacy for Managing Chronic Diseases, the Veteran RAND-12 Health Survey (VR-12), the EuroQoL 5-Domains questionnaire, the Kessler six item Psychological Stress Scale, and measures of smoking habit, physical activity, healthy eating and alcohol consumption. Subgroup analyses by age, number of conditions, sex, and income were also conducted. Results The heiQ domain of emotional wellbeing improved significantly. Improvement was also observed for the VR-12 and the K6. Among the health behaviours, only healthy eating was improved. Subgroup analyses in this exploratory study suggest that younger patients, those with lower number of chronic conditions or higher incomes may respond better in relation to self-management, health status and health behaviours. Conclusion One year after the intervention, participants significantly improved a variety of outcomes. Subgroup analyses suggest that younger patients, those with lower number of chronic conditions or higher incomes may respond better in relation to self-management, health status and health behaviours. This suggests that future interventions should be tailored to patients’ characteristics including age, sex, income and number of conditions.

Focus and features of prescribing indications spanning multiple chronic conditions in older adults: A narrative review

Background: Inappropriate prescribing is frequent in older adults and associated with adverse outcomes. Prescribing indications aim to optimize prescribing, but little is known about the focus and features of prescribing indications for the most common chronic conditions in older adults. Understanding the conditions, medications, and issues addressed (e.g., patient perspective, drug-disease interaction, adverse drug event) in current prescribing indications may help to identify missing indications and develop standardized measures to improve prescribing quality. Methods: We searched Ovid/MEDLINE and EMBASE for articles published between 2015 and 2020 reporting prescribing indications for older adults. Prescribing indication included 1) prescribing “criteria,” or statements that guide prescribing action, and 2) prescribing “measures,” or prescribing actions observed in a population. We categorized their focus by conditions, medications and issues addressed, as well as level of evidence provided. Results: Among 16 sets of prescribing indications, we identified 748 criteria and 47 measures. The most common addressed medications were antihypertensives, analgesics/antirheumatics, and antiplatelets/anticoagulants. The most frequently addressed issues were drug-disease interaction, adverse drug event, administration, better therapeutic alternative, and (co-)prescription omission (20.8–36.1%). Age/functioning, drug-drug interaction, monitoring, and efficacy/safety ratio were found in only 9.9–16.5% of indications. Indications rarely focused on the patient perspective or issues with multiple providers. Conclusion: Most prescribing indications for chronic conditions in older patients are criteria rather than measures. Indications accounting for patient perspective and multiple providers are limited. The gaps identified in this review may help improve the development of prescribing measures for older adults and ultimately improve quality of care.

Primary care-based link workers providing social prescribing to improve health and social care outcomes for people with multimorbidity in socially deprived areas (the LinkMM trial): Pilot study for a pragmatic randomised controlled trial

Introduction: Individuals with multimorbidity in deprived areas experience worse health outcomes and fragmented care. Research suggests that primary care-based link workers providing social prescribing have potential to improve health and well-being. This paper reports the results of a pilot study conducted in preparation for a randomised controlled trial (RCT) that aims to test the effectiveness of primary care-based link workers providing social prescribing in improving health outcomes for people with multimorbidity who attend general practices in deprived areas in Ireland. Methods: An uncontrolled pilot study of an intervention based on the Glasgow Deep End links worker programme, in a single general practice, tested the feasibility and acceptability of planned processes for a RCT. Outcomes were recruitment and retention rates and acceptability of the trial processes and intervention to patients, general practitioners (GPs) and the link worker. Structured interviews were conducted with six patients, the link worker and two GPs within the practice and analysed using descriptive qualitative analysis. Feedback from a Public Patient Involvement group and an Implementation Advisory Group of key stakeholders was incorporated into the evaluation process. Results: Twelve out of 14 patients completed the intervention. Selection and recruitment processes were lengthier than expected. GPs recommended including psychosocial need in the selection process. Interviewed patients, the GPs and the link worker were positive about the intervention. Conclusion: A range of adaptations were identified for the main trial, mainly considering psychosocial need in the selection process to reflect normal referral pathways. This has resulted in a pragmatic RCT design.

Acceptability of nurse-led reviews for inflammatory rheumatological conditions: A qualitative study

Background: People with inflammatory rheumatological conditions (IRCs), are at increased risk of comorbidities such as cardiovascular disease, osteoporosis, anxiety and depression. The INCLUDE pilot trial evaluated a nurse-delivered review of people with IRCs which sought to identify and initiate management of comorbid conditions. Aim: A nested qualitative study was undertaken to examine the acceptability of the INCLUDE review. Methods: A qualitative interview-based design in UK primary care settings. A purposive sample of 20 patients who attended an INCLUDE review, were interviewed. Inductive thematic analysis was undertaken. Themes were agreed through multidisciplinary team discussion and mapped onto constructs of the Theoretical Framework of Acceptability (TFA). Results: Six themes mapped onto six of the seven TFA constructs. Patients reported the review to be effective by identifying and initiating management of previously unrecognised comorbid conditions. Some participants reported barriers to following recommendations, such as lifestyle modifications or taking more medication. Conclusion: A nurse-delivered review to identify comorbidities is acceptable to patients with IRCs. The TFA provided a novel analytical lens.

The incidence of multimorbidity and patterns in accumulation of chronic conditions: A systematic review

Multimorbidity, the presence of 1+ chronic condition in an individual, remains one of the greatest challenges to health on a global scale. Although the prevalence of multimorbidity has been well-established, its incidence is not fully understood. This systematic review determined the incidence of multimorbidity across the lifespan; the order in which chronic conditions accumulate to result in multimorbidity; and cataloged methods used to determine and report accumulation of chronic conditions resulting in multimorbidity. Studies were identified by searching MEDLINE, Embase, CINAHL, and Cochrane electronic databases. Two independent reviewers evaluated studies for inclusion and performed quality assessments. Of 36 included studies, there was high heterogeneity in study design and operational definitions of multimorbidity. Studies reporting incidence (n = 32) reported a median incidence rate of 30.7 per 1,000 person-years (IQR 39.5 per 1,000 person-years) and a median cumulative incidence of 2.8% (IQR 28.7%). Incidence was notably higher for persons with older age and 1+ chronic conditions at baseline. Studies reporting patterns in accumulation of chronic conditions (n = 5) reported hypertensive and heart diseases, and diabetes, as among the common starting conditions resulting in later multimorbidity. Methods used to discern patterns were highly heterogenous, ranging from the use of latent growth trajectories to divisive cluster analyses, and presentation using alluvial plots to cluster trajectories. Studies reporting the incidence of multimorbidity and patterns in accumulation of chronic conditions vary greatly in study designs and definitions used. To allow for more accurate estimations and comparison, studies must be transparent and consistent in operational definitions of multimorbidity applied.

A protocol for the evaluation of the process and impact of embedding formal and experiential Public and Patient Involvement training in a structured PhD programme

Background: Incorporating Public and Patient Involvement (PPI) into doctoral research is valued by PhD scholars. The importance of providing early career researchers with appropriate education and training to develop skills to conduct meaningful involvement has been articulated. The Collaborative Doctoral Award in MultiMorbidity (CDA-MM) PhD programme embedded formal PPI training as a postgraduate education component. Four PhD scholars taking part in the CDA-MM established a PPI panel comprising people, and carers of people, living with multimorbidity (≥2 chronic conditions), presenting an opportuning for experiential PPI training. The proposed study aims to evaluate the process and impact of formal and experiential PPI training during a PhD programme. Design: Embedding PPI training in a PhD programme is a novel approach. This evaluation will include a process evaluation to provide an understanding of the workings of the PPI panel and explore the experiences of key stakeholders involved, and an impact evaluation to assess the impact of embedding PPI training in a PhD programme. This study is a longitudinal mixed-methods evaluation, conducted over 24 months. Participants include PhD scholars, PPI contributors and PhD supervisors. An independent researcher not aligned with the CDA-MM will lead the evaluation. Data collection methods include focus groups, individual interviews, an impact log and group reflections. Qualitative data will be analysed using thematic and content analysis and quantitative data will be analysed using descriptive statistics. Discussion: This evaluation will report the learnings from embedding formal and experiential PPI training and education across a PhD programme.

Identification of the multimorbidity training needs of primary care professionals: Protocol of a survey

Background: Current epidemiological situation has prompted the consideration of multimorbility (MM) as a prevalent condition, influenced by age, educational level and social support, related to unfavorable social and health determinants. Primary Care (PC) has a key role in its approach but further training of professionals in MM is required. The evidence on the effectiveness of training interventions in MM is still limited. Knowing the experiences, opinions and training needs of professionals is essential to enhance training interventions. Objectives: Identify perceived training needs by PC health professionals (doctors and nurses) in MM and polypharmacy. Methods: Design: Cross-sectional study based on an online survey (anonymous-ad hoc questionnaire). Participants and recruitment: 384 doctors and nurses working in healthcare centers and out-of-hospital emergencies of the Spanish National Health System. Non-probabilistic convenience sampling via email addressed to Health Institutions, and social networks. Data: Demographic characteristics and professional profile data (close-ended and multiple-choice questions) will be collected. Open-ended questions will be used to identify training needs, difficulties and resources about MM; required skills to care patients with MM will be assessed using a 4-item ordinal scale. Analysis: Coding of data prior to analysis. Descriptive statistical analysis, participation and completion rates of the questionnaire and estimation of absolute and relative frequencies and 95% confidence intervals in close-ended questions. Content analysis with inductive methodology in open-ended questions. Ethics: Ethical approval, Online informed consent. Conclusions: The identification of training needs of health professionals who care for patients with MM will be necessary data for developing highly effective training activities.

Engagement with consumer smartwatches for tracking symptoms of individuals living with multiple long-term conditions (multimorbidity): A longitudinal observational study

Introduction People living with multiple long-term conditions (multimorbidity) (MLTC-M) experience an accumulating combination of different symptoms. It has been suggested that these symptoms can be tracked longitudinally using consumer technology, such as smartphones and wearable devices. Aim The aim of this study was to investigate longitudinal user engagement with a smartwatch application, collecting survey questions and active tasks over 90 days, in people living with MLTC-M. Methods ‘Watch Your Steps’ was a prospective observational study, administering multiple questions and active tasks over 90 days. Adults with more than one clinician-diagnosed long-term conditions were loaned Fossil® Sport smartwatches, pre-loaded with the study app. Around 20 questions were prompted per day. Daily completion rates were calculated to describe engagement patterns over time, and to explore how these varied by patient characteristics and question type. Results Fifty three people with MLTC-M took part in the study. Around half were male ( = 26; 49%) and the majority had a white ethnic background ( n = 45; 85%). About a third of participants engaged with the smartwatch app nearly every day. The overall completion rate of symptom questions was 45% inter-quartile range (IQR 23–67%) across all study participants. Older patients and those with greater MLTC-M were more engaged, although engagement was not significantly different between genders. Conclusion It was feasible for people living with MLTC-M to report multiple symptoms per day over 3 months. User engagement appeared as good as other mobile health studies that recruited people with single health conditions, despite the higher daily data entry burden.

Prevalence of chronic pain in LTCs and multimorbidity: A cross-sectional study using UK Biobank

Objectives: Chronic pain is often experienced alongside other long-term conditions (LTCs), yet our understanding of this, particularly in relation to multimorbidity (≥2 LTCs) is poor. We aimed to examine associations between the presence/extent of chronic pain with type/number of LTCs experienced. Methods: We examined the relationship between number/type of LTCs (N = 45) in UK Biobank participants (n = 500,295) who self-reported chronic pain lasting ≥3 months in seven body sites or widespread. Relative risk ratios (RRR) for presence/extent of chronic pain sites were compared using logistic regression adjusted for sociodemographic (sex/age/socioeconomic status) and lifestyle factors (smoking/alcohol intake/BMI/physical activity). Results: 218,648 participants self-reported chronic pain. Of these, 69.1% reported ≥1 LTC and 36.2% reported ≥2 LTCs. In 31/45 LTCs examined, >50% of participants experienced chronic pain. Chronic pain was common with migraine/headache and irritable bowel syndrome where pain is a primary symptom, but also with mental health conditions and diseases of the digestive system. Participants with >4 LTCs were over three times as likely to have chronic pain (RRR 3.56, 95% confidence intervals (CIs) 3.44–3.68) and 20 times as likely to have widespread chronic pain (RRR 20.13, 95% CI 18.26–22.19) as those with no LTCs. Conclusions: Chronic pain is extremely common across a wide range of LTCs. People with multimorbidity were at higher risk of having a greater extent of chronic pain. These results show that chronic pain is a key factor for consideration in the management of patients with LTCs or multimorbidity.